Digital Commons Network^™

University Oral Hygiene Behaviors Compared To The National Population, Noura Naami, Jordan Monteiro, Trisha Jois

Undergraduate Student Symposium

Maintaining optimal oral health is essential for preventing dental caries, periodontal disease, and systemic complications. However, the combined effects of brushing, flossing, and mouthwash, which are common oral practices, remain incompletely understood. While each practice has been studied individually, there is limited data existing that evaluates how different brands and the frequency of use interact to influence the oral environment. In this study, we use a cohort of 40 university aged individuals to examine oral hygiene behaviors compared to the general U.S. population. In regard to flossing, national data suggests that this behavior is the least consistently utilized method of …

The Effects Of Gender Crime Congruency On Jurors' Decisions And Confidence, Elizabeth Avila

Undergraduate Student Symposium

A basic principle of the U.S. court system is that every individual has the right to a fair and unbiased trial. While this is the ideal, it is not always reality. Jurors come in with their own beliefs and attitudes before the trial starts. These preconceived beliefs can jeopardize the integrity of the trial. An example of these beliefs is gender stereotypes. Gender stereotypes can influence a juror's attitude towards a defendant, to either have a more negative or positive view on whether the defendant's gender matched the nature of their crime. This is called gender crime congruency. In this …

Factors Associated With Lapses In Care Among People Living With Hiv In South Carolina, Xueying Yang Ph.D., Fanghui Shi, Shujie Chen, Gavi Samuel, Bankole Olatosi Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Jiajia Zhang Ph.D.

Faculty Publications

Utilizing statewide electronic health records (EHR) data, this study aims to assess the factors determining the occurrence of lapses in HIV care among people with HIV (PWH) in South Carolina (SC). All adult (≥ 18 years old) PWH who were diagnosed with HIV between 2006 and 2018 with at least two HIV care encounters and at least 1-year follow-up record were included in the analysis. The outcome, a lapse in care, was defined as a repeated measure of HIV care encounter that occurs over a year following the previous visit. Generalized Estimation Equation models were employed. The study cohort had …

Bcaas Newsletter Spring 2026, Bcaas

BCAAS Newsletter

No abstract provided.

2026 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2026.

Discovery And Genome Annotation Of Tuti And Charminar: Two Newly Discovered Gordonia Rubripertincta Bacteriophages

Undergraduate Student Symposium

As the most abundant organisms, bacteria are both beneficial and harmful, highlighting the significance of regulating their growth. Bacteriophages (phages) are ubiquitous viruses that require a host bacterial organism for replication, making them an essential component of the microbial ecosystem and used as tools for killing bacteria. Since their discovery in 1915, phages have been used in real-world applications including alternatives to antibiotics, diagnostic agents, pest control in agriculture, wastewater treatment, and bioremediation. Since bacteriophages remain mostly undiscovered, continued isolation and genetic characterization of novel phages are essential for advancing scientific knowledge and potential applications. Through Nova Southeastern University's SEA-PHAGES …

Exercise As An Intervention Against Neuroinflammation During Binge Drinking Withdrawal, Shaina Binu, Ellie Wind, Ariana Hernandez, Iliana Uribe, Victoria Pulido-Correa

Undergraduate Student Symposium

Binge drinking, a public health concern in the United States, is associated with negative emotional and cognitive effects during alcohol withdrawal. These effects are believed to result from changes in brain regions involved in stress regulation, emotion, and decision-making, including the prefrontal cortex, amygdala, and hippocampus. Alcohol exposure has been shown to increase neuroinflammation in these regions, which may contribute to anxiety-like behaviors and difficulty regulating emotions during withdrawal. In contrast, aerobic exercise is a promising non-pharmacological intervention that has been shown to reduce anxiety and support brain health. This project investigates how exercise can reduce withdrawal-related anxiety-like behaviors, following …

Proximal Power Gains In Football: Position-Specific Adaptations Revealed Through Compositional Data Analysis, Isabella Estrada Hernandez, Alyana Andal

Undergraduate Student Symposium

Training-induced adaptations in joint power distribution during speed running may enhance performance, but how these changes manifest across different American football position groups remains poorly understood. We investigated the influence of training and player position on joint power composition among players training for the National Football League draft. Forty-eight draft-eligible players performed pre- and post-training camp running trials at 23.4 km/h. We used motion capture software and MATLAB to calculate bilateral peak hip, knee, and ankle joint power. Compositional data analysis (CoDA) was used, in which positive/generated and negative/absorbed power compositions were expressed as isometric log-rations: hip versus knee + …

Baseline Emotional Valence Predicts Subsequent Executive Function Task Performance, Andrea Fajardo Aguilar, Alyssa Harris, Isidora Varas-Sanchez, Julia Ribeiro, Dylan Kuni

Undergraduate Student Symposium

Executive functioning (EF) supports goal-directed behavior and is influenced by affective state. While prior research has largely focused on the effects of emotional valence during task performance, less is known about the influence of pre-task self-reported valence on subsequent EF performance. Our ongoing study will examine whether self-reported ratings of emotional valence assessed prior to the start of a task will predict performance. Participants will report valence ratings during a resting baseline period before performing two EF tasks: the Vertical Stroop and the Go/No-Go. Performance will be assessed using reaction time and accuracy. Regression analyses will be conducted to …

Comparison Of Bacteria From Varied Soils With Potential Antimicrobial Activity, Nicole Nesterovitch, Nyobi Fleming, Andrew Sourial

Undergraduate Student Symposium

Antibiotic resistance is increasing at a rate that surpasses the discovery and development of new antimicrobial compounds, creating a widening resistance-innovation gap that poses a global public health concern. To address this need for new antibiotic-producing organisms, we partnered with Tiny Earth, a global initiative that engages students in antibiotic discovery through soil sample collection, bacterial isolation, and antimicrobial screening. We isolated bacteria from local soil in Davie, Florida as well as soil from the White River Badlands, South Dakota with the hypothesis that distinct soil conditions may yield different antimicrobial producers with varied activity and chemical profiles. 42 unique …

Assessing Recovery In Collegiate Swimmers Through Wearable Technology, Sara Quintero

Undergraduate Student Symposium

Collegiate swimmers face extreme physiological demands during high-intensity training phases like "Hell Week," a winter training intensive loading microcycle, that makes recovery monitoring critical for maintaining performance. This study investigated the relationship between sleep quality and recovery markers. Specifically, Heart Rate Variability (HRV) and Resting Heart Rate (RHR), in nine female collegiate swimmers (ages 19-23) across all collegiate years. Participants included sprinters, mid-distance, and distance swimmers, leading to varied total yardage across training groups. Over an eight-day period (seven training days and one rest day), data was collected via screenshots from Garmin (n=4) and WHOOP (n=5) wearable devices. Metrics included …

Developing New Digital Methods To Study And Improve Eyewitness Testimony, Isabella Ryan, Brianna Munoz, Adam Durnin, Tanya Schrader, Joana Vinagre

Undergraduate Student Symposium

Witnesses play a crucial role in criminal investigations. However, their ability to recall important details is influenced by cognitive processes such as memory. To improve eyewitness testimony, psychologists developed science-based interviewing techniques, such as the Cognitive Interview, which are used by police to elicit accurate accounts. We also created new retrieval strategies, namely the Category Clustering Recall (CCR), which has been implemented by agencies such as the Los Angeles Police Department. However, research supporting the use of these techniques predominantly used the mock-witness paradigm, where participants observed a mock-crime on a two-dimensional (2D) screen and recalled it in a controlled …

Group Differences In Conflict Processing Between Bilinguals And Monolinguals, Isidora Varas-Sanchez, Dylan Kuni, Julia Ribeiro, Andrea Fajardo Aguilar, Alyssa Harris

Undergraduate Student Symposium

There is an ongoing debate in the literature on the existence of a bilingual advantage on tests of attention. Hypothetically, bilinguals have an advantage over monolinguals on tests of attention because both attention and language control share the same inhibitory mechanism. Because bilinguals engage this mechanism more often than monolinguals, inhibitory control is believed to be stronger and confer an advantage. However, research findings on the bilingual advantage are inconsistent and attempts to reproduce prior results have sometimes failed. The argument is that studies may have failed to capture the important aspects of language linked to attention. Prior research from …

Information-Content-Informed Kendall-Tau Correlation Methodology, Robert M. Flight, Praneeth S. Bhatt, Hunter N.B. Moseley

Markey Cancer Center Faculty Publications

Background: Almost all correlation measures currently available are unable to directly handle missing values. Typically, missing values are either ignored completely by removing them or are imputed and used in the calculation of the correlation coefficient. In either case, the correlation value will be impacted based on the perspective that the missing data represents no useful information. However, missing values occur in real datasets for a variety of reasons. In metabolomics datasets a major reason for missing values is that a specific measurable phenomenon falls below the detection limits of the analytical instrumentation (left-censored values). These missing data are not …

Role Of Succinate Dehydrogenase In Age-Related Th17 Inflammation, Evelyn Ocegueda, Gabrielle Chase, Michaella Niceforo, Aida Javidan, Lydia Gugliuzza, Jingting Yu, Rachel Y. Kang, Ava Lankowski, Olivia Stefanik, Kailey Leclerc, Yolander Valentine, Micah J. Drummond, Jude T. Deeney, Josephine S. Modica-Napolitano, Elizabeth A. Proctor, Hatice Hasturk, Barbara S. Nikolajczyk, Leena P. Bharath

Markey Cancer Center Faculty Publications

Age-related cellular changes negatively impact CD4⁺ T cell function. Our prior work showed that mitochondrial complex II (succinate dehydrogenase [SDH]) expression was upregulated in T cells from older (O) adults (60–80 years old). T cells from older adults also produced higher amounts of cytokines generally considered proinflammatory, such as Th17 cytokines IL-17A/F and IL-21, and the Th-17-supportive cytokine IL-6, compared to T cells from younger (Y) adults (25–40 years old). The objective of our study is to evaluate whether hyperactivation of SDH is required for the induction of proinflammatory cytokines and the mechanistic link between SDH and Th17 cytokine …

Freedom Readers And Sustainable Development Goal 4: Advancing Literacy In Low-Income Communities Of South Carolina, Madison Hayes

Goal 4: Quality Education

No abstract provided.

Early Childcare Attendance And Cognitive Skills In Adolescence, Ingvild Almas, Nina Drange, Costas Meghir, Henrik Daae Zachrisson

Cowles Foundation Discussion Papers

This paper examines the impact of early childcare on academic achievement for children in grade 5 and grade 9, based on a 2003 policy expansion that created quasi-random variation in slot availability for children aged 1–2. Starting childcare one year earlier increases math scores by 9.7% of a standard deviation (SD) in grade 9. Children whose mothers do not hold a high school diploma benefit by a significant 0.28% of a SD at grade 9, reducing the math achievement gap from children of higher-educated mothers by about one third. We also present evidence of strong improvements for children of immigrants.

Training Language Models For Bilateral Trade With Private Information, Dirk Bergemann, Soheil Ghili, Xinyang Hu, Chuanhao Li, Zhuoran Yang

Cowles Foundation Discussion Papers

Bilateral bargaining under incomplete information provides a controlled testbed for evaluating large language model (LLM) agent capabilities. Bilateral trade demands individual rationality, strategic surplus maximization, and cooperation to realize gains from trade. We develop a structured bargaining environment in which LLMs negotiate via tool calls within an event-driven simulator, separating binding offers from natural-language messages to enable automated evaluation. The environment serves two purposes: as a benchmark for frontier models and as a training environment for open-weight models via reinforcement learning. In benchmark experiments, a round-robin tournament among five frontier models (15,000 negotiations) reveals that effective strategies implement price discrimination …

Generative Ai In Enterprises: Optimizing Applications With Large Language Models, Donghao Huang

Dissertations and Theses Collection (Open Access)

This dissertation investigates how to deploy Large Language Models (LLMs) effectively in enterprise settings, where accuracy, reliability, cost, privacy, and operational constraints often matter more than benchmark performance alone. Drawing on seventeen peer-reviewed publications (eleven published and six accepted for publication), the work develops and validates optimization strategies across three connected themes: retrieval-augmented generation (RAG), agentic AI for workflow automation, and deployment guidelines for real-world enterprise environments.

First, we study RAG optimization through systematic evaluation of open and proprietary models, highlighting conditions under which efficient open-weight models can match or exceed proprietary alternatives. To address a pervasive failure mode in …

From Ancient Harmony To Modern Sustainability: Assessing The Coupling Of Taoist “Harmony Between Humanity And Nature” With Esg And Its Impact On Firm Innovation And Performance, Biyi Wang

Dissertations and Theses Collection (Open Access)

Against the backdrop of intensifying global ecological crises, the ESG evaluation system has become a core metric for corporate sustainable development worldwide. However, the Western-dominated ESG system lacks crucial cultural dimensions in its application within Chinese corporate practices. The ecological wisdom embedded in the Taoist concept of “Harmony between Humanity and Nature” offers a significant philosophical foundation for the ESG localization. Extant research has focused on the influence of Confucian culture on ESG, with insufficient exploration of the modern managerial value of “Harmony between Humanity and Nature”. A scientific coupling framework linking this concept with ESG indicators has yet to …

Technostress, Worker Wellbeing, And Ethics: An Integrative Review, Mackenzie Moreno

Theses and Dissertations from DePaul University

Rapid advances in workplace technologies have led to increasing concerns about technostress and its implications for worker health and wellbeing. While the technostress literature has at times addressed psychological and physiological wellbeing outcomes, these outcomes have not been examined consistently, and explicit integration of ethics is largely absent. This integrative review addresses these gaps by synthesizing empirical findings on how technostress impacts worker health and wellbeing, and by examining the extent to which ethical considerations are integrated into the extant literature. Drawing on these findings, the review proposes a theoretical model of technostress mechanisms. Finally, it summarizes organizational recommendations for …

Explainable Artificial Intelligence In The Image Domain And Its Applications To The Medical Field, Mirtha Lucas

Theses and Dissertations from DePaul University

This dissertation investigates the development of Explainable Artificial Intelligence (XAI) methods for deep learning models in the image domain, with a particular focus on medical imaging applications. Although neural networks achieve high predictive performance, their lack of interpretability limits their adoption in critical domains such as healthcare, where transparency and trust are essential. This work addresses this challenge by proposing novel approaches that improve the interpretability and reliability of model predictions.   A primary contribution is the introduction of Riemann–Stieltjes Integrated Grad-CAM (RSI Grad-CAM), a gradient-based attribution method that generates more relevant and spatially localized saliency maps. The method is evaluated …

X-Ray Tomography Of Damage Dynamics In Advanced Materials Using A Laser Wakefield Accelerator, Vigneshvar Senthilkumaran, Nicholas F. Beier, Sylvain Fourmaux, Peter Kenesei, Sean Dobson, Joël Maltais, Alvaro R. Arce-Borkent, Tait Richards, Michael G. Lipsett, Le Zhou, John A. Moore, Amina E. Hussein

Mechanical Engineering Faculty Research and Publications

Additively manufactured (AM) metals offer the potential for customizable, cost-effective components, but qualification and certification are crucial. Key to this process is understanding pore dynamics under stress, typically analyzed using micro-computed tomography. This study introduces laboratory-scale “betatron” x-rays from laser wakefield acceleration as a high-throughput alternative for x-ray tomography of advanced materials, such as AM AlSi10Mg alloys. Coupled with 3D finite element modeling, this method provides detailed insights into stress-porosity interactions. The approach delivers high-resolution scans, revealing that pore shape and local triaxiality significantly influence fracture dynamics, supporting advanced material characterization. This work also demonstrates the potential and versatility of …

Short-Term Electricity Price Forecasting With Constrained Regressors, Mucun Sun, Li Zhang, Yifeng Gao

Computer Science Faculty Publications

The volatility of electricity price presents a challenge to market participants as their decision-making process are highly depend on the accuracy of price forecasts. However, there is growing empirical evidence of increasing price volatility and price spikes in electricity markets as a result of variable renewable energy generation, extreme weather events, and other factors. The distribution shift caused by spikes in electricity price data differentiates the forecasting tasks from other renewable energy sources. Moreover, the observations may be compromised by cyberattacks and thus not available in the testing phase. To this end, we propose a Similarity-Enhanced Electricity Decomposition Forecasting model …

Evaluating The Collision-Coalescence Process In Idealized Cloud Convection Using Large-Eddy Simulations With Lagrangian Microphysics, Yangze Ren, Kamal Kant Chandrakar, Fan Yang, Raymond Shaw

Michigan Tech Publications

Drizzle initiation through the collision and coalescence of cloud droplets plays a crucial role in warm cloud precipitation. Recent theoretical studies suggest that the influence of collisional growth on the droplet size distribution can be quantified by a non‐dimensional drizzle number (Dz). Here, large‐eddy simulations with Lagrangian microphysics are employed to evaluate the theory by simulating a tall convection‐cloud chamber under various conditions. Results show that the smaller the Dz, the larger the impact of collisions on the right tail of the droplet size distribution, consistent with the theory. The simulations confirm that the collision rate can be estimated from …

A Model Intercomparison Study To Investigate Mixing Characteristics In Non-Precipitating Stratocumulus Clouds, Fan Yang, Kyoung Ock Choi, Kamal Kant Chandrakar, Fabian Hoffmann, Pei Hou, Steve Krueger, Chunsong Lu, Mikhail Ovchinnikov, Yangze Ren, Shin Ichiro Shima, Peng Wu, Chongzhi Yin, Zeen Zhu, Seong Soo Yum

Michigan Tech Publications

Recent aircraft observations of marine stratocumulus clouds consistently showed that cloud microphysical relationships vary with altitude, indicating inhomogeneous mixing characteristics near cloud top and homogeneous mixing characteristics in mid-levels of clouds. Here, we conduct model intercomparison of an idealized, non-precipitating stratocumulus cloud to evaluate model consistency and examine whether simulations can reproduce the observed mixing characteristics. The results show that eleven large-eddy simulations with various dynamics and microphysics schemes show good agreement on the thermodynamical, microphysical, and dynamical properties of the stratocumulus-topped boundary layer in a steady state. The inter-model spread in steady-state liquid water path is significantly reduced compared …

An Artist’S Playground: Building Bridges Between Children’S Education And Their Knowledge Of Art Through Multi-Modal Learning, Alice J. Cauchi

Theses

Not all museums welcome children as part of their main audience with open arms. Research suggests that experiencing museums as a child supports classroom learning and development, but only when the museums engage young children properly. This paper explores how incorporating multi-modal interactives into art museums can effectively engage children, ages 4 to 8, and build a foundation that supports lifelong learning. Drawing on ideas from early-childhood education, museum visitor-engagement studies, and interactivity sciences, this project results in a framework that guides art museums on how they can overlap play, interactives, and content to incorporate this age group effectively to …

Implementation And Costs Of A Food Insecurity Resource Navigation Program For Primary Care Patients With Diabetes And Hypertension In South Carolina, Deeksha Gupta, Darin Thomas, Stella Coker Watson Self Ph.D., Ms, Edward A. Frongillo Jr. Ph.D., Alain H. Litwin, Joseph A. Ewing, Lynnette Ramos-Gonzalez, Lynnette Ramos-Gonzalez

Faculty Publications

Objective

To examine food insecurity resource navigation program costs and how navigation intensity relates to clinical outcomes, healthcare costs, and quality of life (QOL) for diabetes and/or hypertension patients.

Methods

This retrospective study included patients receiving resource navigation (July 12, 2021-December 31, 2022 with twelve-month follow-up) across three primary care practices in South Carolina's largest health system. Participants were 18+ years old (from electronic medical records/Epic), had food insecurity (from Hunger Vital Sign™), and diabetes and/or hypertension (from Epic registries). Matched controls came from food insecurity screening-only practices. Patients in each group (n= 219) had diabetes (9.13%), hypertension …

Math 242: Elements Of Probability And Statistics (Syllabus), Ahmad Almomani Ph.D.

School of Arts & Sciences

This syllabus was developed by SUNY Geneseo Professor Ahmad Almomani during the spring 2026 semester.

Course Objectives:

Upon successful completion of Math 242, R/Elements of Probability and Statistics, a student will be able to: 

• Organize, present and interpret statistical data, both numerically and graphically; 
• Use various methods to compute the probabilities of events; 
• Analyze and interpret statistical data using appropriate probability distributions, e.g. binomial and normal. 
• Apply central limit theorem to describe inferences; 
• Construct and interpret confidence intervals to estimate means, standard deviations and proportions for populations; 
• Perform parameter testing techniques, including single and multi-sample tests for means, standard deviations …

Biol 454: Developmental Biology (Syllabus), Travis Bailey Ph.D.

School of Arts & Sciences

This syllabus was developed by SUNY Geneseo Professor Travis Bailey in the spring 2026 semester.

Learning Outcomes-Students will:

• Understand the methods scientist use to explore the genetic, cellular, and tissue control of development.
• Compare and contrast developmental strategies of model organisms.
• Read primary literature critically and explain strengths and weaknesses.
• Test hypotheses with self-designed experimentation, measurement and data collection, evaluation of evidence, and employment of mathematical analysis.
• Relate discoveries from model animals to human conditions.
• Communicate findings orally and in writing.
• Integrate multiple bodies of knowledge with their personal experience by asking meaningful questions about real-world problems
• Apply skills, theories, …